International Journal of Multimedia Computing, 2020, 1(4); doi: 10.38007/IJMC.2020.010405.
Yingcai Yang
Southwest Jiaotong University, Sichuan, China
The most important part of the automatic control microscope system is the auto focus technology. How to improve the accuracy and speed of the focus is the most noteworthy breakthrough point, in which the focus evaluation function is used to evaluate whether the image is correctly focused. Objective: through the evaluation of several kinds of focus evaluation functions, and according to the application of microscope focus technology in the research, we compare and select the focus method which is more easy to use image video signal for proper processing, and analyze and experiment the key technology. Methods: according to the high frequency component of image video signal, the class divergence of the difference between class samples, choosing the appropriate evaluation function and step size through the gradient value size, comparing the sharpness and edge of the focus image and the non-focus image to evaluate the quality and clarity of image video signal, selecting a high comprehensive auto focus algorithm to realize auto focus The gray difference method, Laplace operator and other evaluation functions. Results: in the end, the resolution of the image is 93.1%, and the success rate of auto focusing is 98.2%. The method based on analog image video signal processing improves the precision and speed of focusing, and it has been successfully applied to the auto focusing system of microscope.
Analog Image Video Signal Processing, Microscope Auto Focus Method, Focus Function, Evaluation Function
Yingcai Yang. Microscope Autofocus Method Based on Analog Image Video Signal Processing. International Journal of Multimedia Computing (2020), Vol. 1, Issue 4: 47-58. https://doi.org/10.38007/IJMC.2020.010405.
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